The Impact of NPV on the Spectral Parameters in the Yellow-Edge, Red-Edge and NIR Shoulder Wavelength Regions in Grasslands [PDF]
Remote Sensing, 2022 Even though research has shown that the spectral parameters of yellow-edge, red-edge and NIR (near-infrared) shoulder wavelength regions are able to estimate green cover and leaf area index (LAI), a large amount of dead materials in grasslands challenges
Dandan Xu +3 more
doaj +5 more sources
Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameters Extraction [PDF]
Remote Sensing, 2019 Non-contact and active vegetation or plant parameters extraction using hyperspectral information is a prospective research direction among the remote sensing community.
Changhui Jiang +9 more
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The Red Edge Problem in asteroid band parameter analysis [PDF]
Meteoritics & Planetary Science, 2016 AbstractNear‐infrared reflectance spectra of S‐type asteroids contain two absorptions at 1 and 2 μm (band I and II) that are diagnostic of mineralogy. A parameterization of these two bands is frequently employed to determine the mineralogy of S(IV) asteroids through the use of ordinary chondrite calibration equations that link the mineralogy to band ...
Sean S. Lindsay +3 more
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Land Cover Mapping at BOREAS using red edge spectral parameters from CASI imagery [PDF]
Journal of Geophysical Research: Atmospheres, 1999 Peer ...
Zarco-Tejada, Pablo J., Miller, John R.
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Environmental Technology & Innovation, 2022 Plants grown on sodic soils can suffer from macronutrient deficiencies, such as calcium (Ca), magnesium (Mg), and potassium (K), reducing health and growth. Nutrient concentrations in plant tissue could potentially provide a signal to identify cultivars tolerant to sodic conditions.
Malini Roy Choudhury +7 more
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Monitoring Chlorophyll and Nitrogen Contents in Cotton Leaf Infected by Verticillium wilt with Spectra Red Edge Parameters [PDF]
Acta Agronomica Sinica, 2013 The relationship between chlorophyll (Chl) content, leaf nitrogen content (LNC) and red edge parameters were analyzed, and diagnose models of spectra red edge parameters were established for cotton leaf infected by Verticillium wilt. Results showed that: (1) Chl a, Chl b, Chl a+b content, and LNC decreased with increasing in severity level (SL) of ...
Bing CHEN +9 more
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Comparison of Vegetation Indices and Red‐edge Parameters for Estimating Grassland Cover from Canopy Reflectance Data [PDF]
Journal of Integrative Plant Biology, 2007 AbstractThere has been a great deal of interests in the estimation of grassland biophysical parameters such as percentage of vegetation cover (PVC), aboveground biomass, and leaf‐area index with remote sensing data at the canopy scale. In this paper, the percentage of vegetation cover was estimated from vegetation indices using Moderate Resolution ...
Zhan‐Yu Liu +3 more
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Towards red‐edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data [PDF]
International Journal of Remote Sensing, 2008 Several methods for extracting the chlorophyll sensitive red‐edge position (REP) from hyperspectral data are reported in literature. This study is a continuation of a recent paper published as ‘A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method’.
Cho, M.A., Skidmore, A.K., Atzberger, C.
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Journal of the Japan society of photogrammetry and remote sensing, 2008 Rice canopy hyperspectral reflectance data were perpetually measured to analyze the red edge position (REP) corresponded to grain weight during growing season in Java Island, Indonesia. Reflectance measurements were conducted concurrently with biomass sampling of three rice cultivars and four nitrogen application levels (N level) whose were involved in
Muhammad EVRI +2 more
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Extracting Red Edge Position Parameters from Ground- and Space-Based Hyperspectral Data for Estimation of Canopy Leaf Nitrogen Concentration in Rice [PDF]
Plant Production Science, 2011 To realize non-destructive and real-time monitoring of crop nitrogen status for precision management in rice fertilization, we characterized the reflectance spectra in the red edge area from ground- and space-based data, and quantified the relationships between the red edge position (REP) derived from different algorithms and canopy leaf nitrogen ...
Yongchao Tian +4 more
openaire +3 more sources